Software Engineer - Machine Learning

August 2

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Description

• Research Implementation: Read and implement various research papers to improve architecture efficiency, training speed, loss metrics, and fine-tuning methods. • Experimental Design: Devise and conduct scientifically rigorous experiments to validate the effectiveness of proposed adjustments for solving Imbue’s target problems using LLMs. • Fundamental Understanding: Enhance our knowledge of LLM fundamentals, focusing on areas such as chain-of-thought, reasoning, generalization, hallucination, and grokking. • Hyperparameter Optimization: Utilize our existing framework to perform hyperparameter sweeps, and contribute to the development of new features for the sweep code. • Infrastructure Collaboration: Work with infrastructure engineers to develop monitoring systems, informative logging, and maintenance guides for long-running experiments. • Dataset Improvement: Collaborate with data and product engineers to identify and implement improvements in our training and evaluation datasets. • Model Performance: Conduct scientific research and development to create LLM models that perform effectively in practical applications.

Requirements

• Python Proficiency: Highly comfortable writing Python code. • PyTorch Experience: Familiar with PyTorch and experienced in training deep neural networks. • Open Source Enthusiasm: Excited to work on and contribute to open-source projects. • Best Practices: Passionate about engineering best practices and maintaining high-quality code standards. • Self-Direction: Able to work independently and manage your own tasks effectively. • Execution Excellence: Demonstrated ability to get things done efficiently and effectively.

Benefits

• Competitive Salary: $175,000 - $325,000 annually. • Health Insurance: Comprehensive medical, dental, and vision coverage. • Retirement Plans: 401(k) plan with company matching. • Paid Time Off: Generous PTO policy including vacation, sick leave, and holidays. • Professional Development: Opportunities for continuous learning and career growth, including access to conferences, workshops, and online courses. • Flexible Work Arrangements: Options for remote work and flexible scheduling to support work-life balance. • Parental Leave: Paid parental leave for new parents. • Wellness Programs: Access to mental health resources, wellness programs, and fitness reimbursements. • Employee Assistance Program: Support for personal and professional issues through our EAP. • Stock Options: Equity options to share in the company’s success. • Commuter Benefits: Pre-tax commuter benefits for public transportation and parking. • Technology Stipend: Annual stipend for tech equipment and home office setup. • Company Events: Regular team-building activities, social events, and company retreats. • Diversity and Inclusion: Commitment to fostering an inclusive and diverse workplace.